OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A hybrid model using data mining and multi-criteria decision-making methods for landslide risk mapping at Golestan Province, Iran
Elham Rafiei Sardooi, Ali Azareh, Tayyebeh Mesbahzadeh, et al.
Environmental Earth Sciences (2021) Vol. 80, Iss. 15
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Shallow landslide susceptibility assessment under future climate and land cover changes: A case study from southwest China
Zizheng Guo, Joaquin V. Ferrer, Marcel Hürlimann, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 4, pp. 101542-101542
Open Access | Times Cited: 70

A novel deep learning framework for landslide susceptibility assessment using improved deep belief networks with the intelligent optimization algorithm
Shaoqiang Meng, Zhenming Shi, Gang Li, et al.
Computers and Geotechnics (2024) Vol. 167, pp. 106106-106106
Closed Access | Times Cited: 26

Living with Urban Flooding: A Continuous Learning Process for Local Municipalities and Lessons Learnt from the 2021 Events in Germany
Bert Bosseler, Mirko Salomon, Marco Schlüter, et al.
Water (2021) Vol. 13, Iss. 19, pp. 2769-2769
Open Access | Times Cited: 32

A comparative study for landslide susceptibility assessment using machine learning algorithms based on grid unit and slope unit
Nian-dong Deng, Yuxin Li, Jianquan Ma, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 19

Mapping Landslide Sensitivity Based on Machine Learning: A Case Study in Ankang City, Shaanxi Province, China
Baoxin Zhao, Jingzhong Zhu, Youbiao Hu, et al.
Geofluids (2022) Vol. 2022, pp. 1-32
Open Access | Times Cited: 17

Simulation and Prediction of Land Use/Cover Changes Based on CLUE-S and CA-Markov Models: A Case Study of a Typical Pastoral Area in Mongolia
Changqing Sun, Yulong Bao, Battsengel Vandansambuu, et al.
Sustainability (2022) Vol. 14, Iss. 23, pp. 15707-15707
Open Access | Times Cited: 17

Artificial intelligence algorithms and multicriteria decision-making
Hossein Bonakdari, Amir Noori, Khosro Morovati
Elsevier eBooks (2025), pp. 751-783
Closed Access

Considering tectonic uplift in landslide susceptibility assessment using MaxEnt model: a case study of Trishuli River watershed
Yidan Huang, Urusha Tyata, Liang Dong, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 7
Closed Access

Deep learning models for large-scale slope instability examination in Western Uttarakhand, India
Vishnu Himanshu Ratnam Pandey, Ashutosh Kainthola, Vikram Sharma, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 20
Closed Access | Times Cited: 15

Analysis of Land Use/Cover Change and Driving Forces in the Selenga River Basin
Yang Ren, Zehong Li, Jingnan Li, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1041-1041
Open Access | Times Cited: 14

Landslide susceptibility assessment of the Asi watershed, southern Türkiye
Senem Tekin, Adolfo Quesada‐Román, Tolga Çan
TURKISH JOURNAL OF EARTH SCIENCES (2024) Vol. 33, Iss. 2, pp. 208-223
Open Access | Times Cited: 2

Landslide susceptibility modelling using hybrid bivariate statistical-based machine-learning method in a highland segment of Southern Western Ghats, India
A.L. Achu, C. D. Aju, Quoc Bao Pham, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 13
Closed Access | Times Cited: 11

Landslide Risk Mapping Using the Weight-of-Evidence Method in the Datong Mining Area, Qinghai Province
He Yang, Qihong Wu, Jianhui Dong, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11330-11330
Open Access | Times Cited: 4

Stability analysis of rainfall-induced landslide considering air resistance delay effect and lateral seepage
Li Li, Hanjie Lin, Yue Qiang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Advanced Uncertainty Quantification for Flood Inundation Modelling
Gordon Aitken, Lindsay Beevers, Mike Christie
Water (2024) Vol. 16, Iss. 9, pp. 1309-1309
Open Access | Times Cited: 1

Landslide Risk Assessment by integrating Hazards and Vulnerability Indices in Southeast Bangladesh
Neegar Sultana, Shukui Tan, Md. Farhad Hossen
International Journal of Disaster Risk Reduction (2024), pp. 104991-104991
Closed Access | Times Cited: 1

The effect of seasonally frozen ground on rainfall infiltration and groundwater discharge in Qinghai Lake Basin, China
Xu Chen, Zhilin Guo, Kewei Chen, et al.
Frontiers in Water (2024) Vol. 6
Open Access | Times Cited: 1

Editorial: Physics and modelling of landslides
Irasema Alcántara-Ayala, Eric J. R. Parteli, Biswajeet Pradhan, et al.
Frontiers in Physics (2023) Vol. 11
Open Access | Times Cited: 3

Disaster Precursor Identification and Early Warning of the Lishanyuan Landslide Based on Association Rule Mining
Junwei Xu, Dongxin Bai, Hongsheng He, et al.
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12836-12836
Open Access | Times Cited: 5

Response of Seasonally Frozen Ground to Climate Changes in the Northeastern Qinghai-Tibet Plateau
Zhihui Zhao, Ruiyu Fu, Junjie Liu, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 4

Analysis of Seasonal Driving Factors and Inversion Model Optimization of Soil Moisture in the Qinghai Tibet Plateau Based on Machine Learning
Qing‐Hai Deng, Jingjing Yang, Liping Zhang, et al.
Water (2023) Vol. 15, Iss. 16, pp. 2859-2859
Open Access | Times Cited: 2

A Comprehensive Approach to Quantitative Risk Assessment of Rockfalls on Buildings Using 3D Model of Rockfall Runout
Mohammad Al-Shaar, Pierre-Charles Gérard, Ghaleb Faour, et al.
J — Multidisciplinary Scientific Journal (2024) Vol. 7, Iss. 2, pp. 183-203
Open Access

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